Senior Full Stack Software Engineer, AI for Chemistry project

X • Mountain View, CA

76d • $165,000 - $258,000

About The Position

As the Senior Full Stack Engineer, you will be the chief architect and developer of the user-facing platform that connects chemists with our powerful machine learning tools. Your mission is to translate complex scientific workflows and ML model outputs into an intuitive, interactive, and production-grade application. You will be responsible for building a robust system from the ground up on Google Cloud Platform, focusing on creating an exceptional user experience for our scientific users. This is a unique opportunity to build a product that will directly impact and accelerate scientific research.

Requirements

• A minimum of 5 years of professional experience designing, building, and deploying production-grade, user-facing applications.
• Demonstrable expertise in building and hosting front-end focused products on Google Cloud Platform (GCP).
• Deep proficiency in modern frontend development with TypeScript and React, including experience with frameworks like Next.js.
• Expertise with frontend ecosystem tools, including state management libraries and data fetching/caching strategies.
• Strong backend development experience in Python with frameworks such as FastAPI or Flask.
• Proven experience with relational databases (PostgreSQL) and containerization (Docker).
• A strong product mindset and a passion for building exceptional user interfaces.
• Experience with Infrastructure as Code tools like Terraform.
• A solid understanding of MLOps and DevOps principles and experience building robust CI/CD pipelines (e.g., Cloud Build, GitHub Actions).
• Experience working at start-up or small teams environments.

Nice To Haves

• Experience building software for scientific or technical users, particularly in chemistry, chemoinformatics, or a related life science field.

Responsibilities

• Lead the development of a sophisticated web interface for chemists, enabling them to run search through experiments, visualize data, and interpret results from our ML models.
• Architect and build scalable frontend systems and robust backend APIs, ensuring the entire application is secure, performant, and reliable.
• Collaborate directly with research scientists and ML engineers to understand user needs, define product requirements, and build features that fit seamlessly into a scientific workflow.
• Own the end-to-end deployment and operations of the application on Google Cloud Platform (GCP), utilizing services like Cloud Run, GKE, and Cloud SQL.
• Implement rich data visualizations for complex chemical information, making our AI-driven insights accessible and actionable.
• Champion software engineering best practices, including comprehensive testing, CI/CD, and infrastructure as code, to build a resilient, production-ready system.

Benefits

• Bonus
• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 251-500 employees